Publications

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Author Title [ Type(Desc)] Year
Conference Paper
Heiler, M and Schnörr, C (2005). Reverse-Convex Programming for Sparse Image Codes. Proc. Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 600-616
Vianello, A, Ackermann, J, Diebold, M and Jähne, B (2018). Robust Hough transform based 3D reconstruction from circular light fields. Conference on Computer Vision and Pattern Recognition (CVPR)
Antic, B and Ommer, B (2012). Robust Multiple-Instance Learning with Superbags. Proceedings of the Aian Conference on Computer Vision (ACCV) (Oral). Springer. 242--255PDF icon Technical Report (319.58 KB)
Hering, F, Merle, M, Wierzimok, D and Jähne, B (1995). A robust technique for tracking particles over long image sequences. Proc. ISPRS Intercommission Workshop `From Pixels to Sequences', Zurich, March 22 - 24, 1995, In Int'l Arch. of Photog. and Rem. Sens. RISC Books. XXX-5W1 74--79
Jähne, B, Haußecker, H, Hering, F, Balschbach, G, Klinke, J, Lell, M, Schmund, D, Schultz, M, Schurr, U, Stitt, M and Platt, U (1996). The role of active vision in exploring growth, transport, and exchange processes. Aktives Sehen in technischen und biologischen Systemen, Workshop der GI-Fachgruppe 1.0.4. Bildverstehen Hamburg, 3--4. December 1996. infix. 4 194--202
Kirchgeßner, N, Spies, H, Scharr, H and Schurr, U (2001). Root Growth Analysis in Physiological Coordinates. International Conference on Image Analysis and Processing (ICIAP'01)
Kirchgeßner, N, Spies, H, Scharr, H and Schurr, U (2001). Root Growth Measurements in Object Coordinates. Proceedings of the 23th DAGM Symposium on Pattern Recognition. Springer
Friedrich, O, Weber, C, Both, M, von Wegner, F, Chamberlain, J S, Garbe, C S and Fink, R H A (2008). Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse). 87th Annual Meeting of the German Physiological Society
Geese, M, Ruhnau, P and Jähne, B (2012). Scene based maximum likelihood PRNU and DSNU non uniformity correction. Forum Bildverarbeitung. KIT Scientific Publishing. 71--82. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440
Mansfield, A, Gehler, P, Van Gool, L and Rother, C (2010). Scene carving: Scene consistent image retargeting. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6311 LNCS 143–156. www.fujifilm.com/products/3d/camera/finepix_
Richter, K E, Rocholz, R and Jähne, B (2012). The Schmidt Number Dependency of Air-Sea Gas Exchange with Varying Surfactant Coverage. SOLAS Open Science Conference, Washington State, USA
Berger, J, Neufeld, A, Becker, F, Lenzen, F and Schnörr, C (2015). Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations. Scale Space and Variational Methods in Computer Vision (SSVM 2015). Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-18461-6_32PDF icon Technical Report (364.01 KB)
Berger, J, Neufeld, A, Becker, F, Lenzen, F and Schnörr, C (2015). Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations. Scale Space and Variational Methods in Computer Vision (SSVM 2015)
Straehle, C N, Köthe, U, Briggman, K, Denk, W and Hamprecht, F A (2012). Seeded watershed cut uncertainty estimators for guided interactive segmentation. CVPR 2012. Proceedings. 765 - 772PDF icon Technical Report (2.84 MB)
Kostrykin, L, Schnörr, C and Rohr, K (2018). Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming. Proc. ISBI
Markowsky, P, Reith, S, Zuber, T E, König, R, Rohr, K and Schnörr, C (2017). Segmentation of cell structure using model-based set covering with iterative reweighting. Proc. ISBI
Andres, B, Köthe, U, Helmstaedter, M, Denk, W and Hamprecht, F A (2008). Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings. Springer. 5096 142-152PDF icon Technical Report (1.21 MB)
Schnörr, (1994). Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals. 12th Int. Conf. on Pattern Recognition. Jerusalem, Israel
Leue, C, Geißler, P, Jähne, B, Jähne, B, Geißler, P and Haußecker, H (1996). Segmentierung von Partikelbildern in der Strömungsvisualisierung. Proceedings of 18th DAGM-Symposium Mustererkennung. 118--129
Andres, B, Hamprecht, F A and Garbe, C S (2007). Selection of Local Optical Flow Models by Means of Residual Analysis. Pattern Recognition. Springer. 4713 72-81PDF icon Technical Report (229.64 KB)
Andres, B, Garbe, C S, Schnörr, C and Jähne, B (2007). Selection of local optical flow models by means of residual analysis. Proceedings of the 29th DAGM Symposium on Pattern Recognition. Springer. 72--81
Sümer, Ö, Dencker, T and Ommer, B (2017). Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. Proceedings of the IEEE International Conference on Computer Vision (ICCV)PDF icon Paper (3.98 MB)PDF icon Supplementary Material (3.36 MB)
Mustikovela, S K, Jampani, V, De Mello, S, Liu, S, Iqbal, U, Rother, C and Kautz, J (2020). Self-Supervised Viewpoint Learning From Image Collections. CONSAC. https://github.com/NVlabs/SSVPDF icon PDF (8.77 MB)
Zouhar, A, Rother, C and Fuchs, S (2015). Semantic 3-D labeling of ear implants using a global parametric transition prior. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9350 177–184
Drory, A, Haubold, C, Avidan, S and Hamprecht, F A (2014). Semi-Global Matching: A Principled Derivation in Terms of Message Passing. GCPR. Proceedings. 43-53PDF icon Technical Report (2.6 MB)
Görlitz, L, Menze, B H, Weber, M - A and Kelm, B Michael (2007). Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields. Pattern Recognition. Springer. 4713 224-233PDF icon Technical Report (872.46 KB)
Gerloff, S, Hagemann, A, Schnörr, C, Tieck, S, Stiehl, H S, Dombrowski, R, Dreyer, M and Wiesendanger, R (1997). Semi–Automated Analysis of SXM Images. Proc. 9th Int. Conf. on Scanning Tunneling Microscopy/Spectroscopy and Related Techniques (STM'97). Hamburg, Germany
Jähne, B, Waas, S and Klinke, J (1993). Shape from shading techniques for short ocean wind waves. Imaging in Transport Processes. Begell House Publishers. 269--281. http://www.dl.begellhouse.com/references/1bb331655c289a0a,36adf33e6f249361.html
Monroy, A, Bell, P and Ommer, B (2012). Shaping Art with Art: Morphological Analysis for Investigating Artistic Reproductions. Proceedings of the European Conference on Computer Vision, Workshop on VISART. Springer. 7583 571--580PDF icon Technical Report (7 MB)
Jähne, (2001). Simulation der Austauschprozesse an der Ozeanoberfläche im Labor: das neue Heidelberger Aeolotron. Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Hamburg, 26.-30.03.2001. Deutsche Physikalische Gesellschaft
Meister, S, Nair, R and Kondermann, D (2013). Simulation of Time-of-Flight Sensors using Global Illumination. Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings. 33-40
Klar, M, Jehle, M, Detert, M, Jirka, G H, Jähne, B, Köhler, H - J and Wenka, T (2004). Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer. Proc. of River Flow 2004. A. A. Balkema Publishers. 703--712
Herzog, A G, Friedl, F and Jähne, B (2010). Simultaneous high-resolution LIF measurements of dissolved gas concentration fields and measurements of wave slope at a wavy free water surface with wind-induced turbulence. 15h Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 05--08, 2010
Jähne, (2014). Simultaneous measurements of solubilities and diffusion coeffcients of volatile species in liquids. 7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014
Jähne, B and Herrmann, H (1997). Softwarekonzepte und Algorithmen für die 3D-Bildverarbeitung. 4. ABW Workshop, TA Esslingen 22.--23.01.1997

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